1 / 28

RISE and FALL of COOPERATION

RISE and FALL of COOPERATION. Jun Kobayashi (Seikei U) Yuhsuke Koyama (Tokyo I of Tech) Hideki Fujiyama (Dokkyo U) Hirokuni Oura (Teikyo U) August 15, 2005 ASA, Philadelphia. OVERVIEW. Mutual Effects of Group Cooperation Rate & Group Size? (traditional)

tibor
Download Presentation

RISE and FALL of COOPERATION

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. RISE and FALL ofCOOPERATION Jun Kobayashi (Seikei U) Yuhsuke Koyama (Tokyo I of Tech) Hideki Fujiyama (Dokkyo U) Hirokuni Oura (Teikyo U) August 15, 2005 ASA, Philadelphia

  2. OVERVIEW • Mutual Effects of Group Cooperation Rate & Group Size? (traditional) • Social Dilemma Experiment w/ Intergroup Mobility (Not traditional)

  3. QUESTION • Olson... Size↑→Cooperation↓ • Free-rider Problem, Social Dilemma • Counter Effect? • Modern Societies… Exit Option • Moving, Job change, Divorce • Effect of Group Cooperation Rate on Group Size???

  4. ON the RUN (Erhart + Keser) • Experiment, Intergroup Mobility • 9 players in 3 group, 10 Sessions • Cooperators RUN AWAY • Cycle: Size↑→Cooperation↓→S↓→C↑ • Various Conditions???

  5. Introduction Data Result

  6. EXPERIMENT • 2003/4, 4 universities in Japan • 10 Sessions, 170 Students • ¥1289.0 ($11), 90 minutes • Computer-based, Group data • “LOW” “MIDDLE” “HIGH” Mobility • 17 in 4 Groups, Anonymous • 10 Rounds, 9 Exit chances

  7. ROUND (10 times) A B C D Free-rider Problem Exit Chance

  8. 1. FREE-RIDER PROBLEM • Resource ¥20 • PROVIDE or NOT • Pooled Resources... • DOUBLED...3/more-player groups • x 1.5... 2-player Groups • SAME... 1-player Groups • EQUALLY Distributed in Group

  9. EXAMPLE (4 Players) • Provide = 40m/4 = 10m (Providers) • Not = 40(m-1)/4 + 20 = 10m + 10 x 2 = Provide Not Not Not

  10. 2. EXIT CHANCE • LOW Mobility... ¥50 to Exit • MIDDLE Mobility... ¥20 • HIGH Mobility... ¥0

  11. Group C Round 2 Stage 2 Your Decisions and Payoffs in This Round Groups’ Average Payoffs Last Stage Groups’ Average Payoffs in This Round Your Total: 125 yens (20 yens subtracted for Moving) Group C's Members: You (ID 6) and Other 7 Groups’ Size What do you do next stage? PROVIDE 20 yens NOT

  12. Provided 20 yens: 3 persons Not: 4 persons Your Decision: Provide Your Payoff: 17.14 yens

  13. ROUND END Groups’ Average Payoffs Groups’ Average Payoffs and Size last Round Your payoff Last Round: 112 yens in Group C Which Group in Next Round? Move with 50 yens Group A B C D

  14. HYPOTHESES • H1. Size↑→Cooperation↓ • H2. Cooperation↓→Size↓ • H3. Mobility↑→Cycle Accelerated H2 Cooperation Rate H1 H1 H2 Size

  15. REGRESSION ANALYSES • Unit… Group (N=360) • H1. Size↑Cooperation↓ Round Number, Previous Cooperation • H2. Previous Coop.↓Size↓ Round Number, Previous Size

  16. Introduction Data Result

  17. DESCRIPTIVE STAT.

  18. H1. SIZE on COOPERATION

  19. y = COOPERATION RATE *p<.05, **.01, ***.001

  20. H2. COOPERATION on SIZE Size PreviousCooperation Rate

  21. y = SIZE *p<.05, **.01, ***.001

  22. H3. MOBILITY on CYCLE

  23. Interaction Effects… Not Significant

  24. EXAMPLES of CYCLE (LOW) Group A B C D

  25. MIDDLE MOBILITY

  26. HIGH MOBILITY

  27. SUMMARY • Large Groups DECREASE Cooperation, then SHRINK • Then INCREASE Cooperation, then EXPAND • MOBILITY ACCELERATES Cycle

More Related